Face Up is an innovative platform that enhances customer engagement through AI-driven personalization and communication tools.
Amplify your customer interactions with intelligent AI Agents that can analyze sentiment, automate responses, and deliver personalized experiences at scale.
Face Up delivers personalized customer interactions and sentiment analysis at scale. Relevance AI transforms these capabilities into sophisticated AI Agents that can understand, engage, and adapt to customer needs automatically.
Dynamic Personalization
Agents can tailor interactions in real-time based on user behavior and preferences.
Sentiment Understanding
Agents can analyze customer emotions to provide empathetic and relevant responses.
Operational Efficiency
Agents can automate routine tasks, allowing human teams to focus on complex issues.
Relevance AI gives you access to Face Up's customer engagement capabilities through intelligent AI Agents within your workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Face Up account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Face Up data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about authentication headers, request formatting, or rate limits.
Built-in validation and error handling ensure your Face Up API calls run reliably, with automatic response parsing and status code handling.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the FaceUp + Relevance AI integration without writing code:
- Configure authentication properly: Ensure OAuth credentials are correctly set up with read-write permissions.
- Structure API requests carefully: Use the correct HTTP methods and relative paths for each endpoint.
- Validate response data: Check status codes and response bodies to confirm successful API calls.
- Handle headers appropriately: Don't attempt to override authorization headers, add only necessary custom headers.
- Monitor API usage: Stay within rate limits and implement proper error handling in workflows.
